JP2016508041A - System for monitoring users - Google Patents

Abstract

A system is provided for monitoring a user that stores user information regarding the user's psychological profile and a list of monitoring parameters, each including a measurable parameter associated with the user. Based on the user information, an adapted list of monitoring parameters is selected from the set of monitoring parameters, and then the system monitors the user using the adapted list of monitoring parameters to provide monitoring results. Thereafter, information related to the monitoring result can be output to the user.

Description

  The present invention relates to systems and methods for monitoring users, and more particularly to monitoring user health and / or adherence to treatment regimens.

  There are many diseases that require long-term management. For example, a patient suffering from a long-term disease may be prescribed by a physician a treatment regimen that the patient should follow. The treatment regimen manages the patient's symptoms, and the purpose of the treatment regimen is to manage the patient's condition and help achieve positive treatment outcomes. It will be appreciated that non-adherence to a treatment regimen can exacerbate a patient's health.

  Alternatively, patients with long-term illness may not require an active treatment regimen. For such patients, it may be necessary to monitor the patient's symptoms and take appropriate medical treatment if the patient's symptoms worsen.

  An example of a chronic disease cycle is shown in FIG. Such a pattern is common to many long-term diseases.

  Assuming that immediate healing is impossible for patients with such long-term disease, stable S1 represents the most positive result for the patient. When the patient is stable, the patient's symptoms can fluctuate from day to day, but there is no downward trend. The goal of a treatment regimen for long-term disease management is likely to be stable.

  When the patient's condition deteriorates (see path P1), there is a possibility of event occurrence S2. The term “event occurrence” refers to a point in time when the patient becomes unstable but is not acute (the next stage in the ring). The event may be triggered by some other factor that causes the patient to have another illness (eg, a cold) or worsen the patient's condition. Typically, the event can be the first manifestation of a patient's worsening condition. Here, an event refers to an unstable state where some intervention is required to return the patient to a stable state. Such interventions may be patient medication changes, physician outpatient interventions, or in the worst case hospitalizations.

  After the event occurrence S2, if the patient's condition is properly managed (for example, if countermeasures are taken), the patient's condition improves and the patient can return to the stable phase S1 via the path P2. However, if the patient's condition is not managed properly and / or the patient's symptoms worsen, the patient may have to be hospitalized S3 at the hospital via path P3. In general, the goal of hospital admission S3 is to have the patient discharged S4 (ie, minimize hospitalization treatment) as soon as possible (via path P4). The recovery then continues in recovery step S5 (via path P5), aiming for the patient to become stable again (via path P6). Therefore, it is desirable to identify an event immediately after the event occurs, as more time passes, it is likely that more expensive interventions must be used to return the patient to a stable state.

  Thus, a patient's long-term disease can be imaged from the perspective of two loops. The first loop involves moving from stable S1 to generation S2 and then returning to stable S1. This first loop represents the management of unstable events, ideal for patients with long-term disease. The second loop includes post-occurrence hospitalization S3, discharge S4, and recovery S5. From the viewpoint of resource consumption of the medical system, the cost associated with hospitalization of the patient usually appears smaller than the cost associated with maintaining stability.

  It is known to provide devices for monitoring aspects of user health. WO 2008/002525 discusses one such system. This attempts to provide a system for monitoring changes in patient wellness. In practice, the effectiveness of such systems is low. Many devices do not like being actively monitored, and such devices require user agreement and compliance. If the user is not willing to use the monitoring system, the monitoring system has no effect.

  One object of the present invention is to provide a system for monitoring users that substantially reduces or overcomes the above problems. In particular, one object of the present invention is to provide a system for monitoring a user that overcomes the technical disadvantages of known monitoring systems.

  According to one aspect of the present invention, a system for monitoring a user, a user database configured to store user information associated with a user's psychological profile, and measurable parameters associated with the user. A monitoring database configured to store a set of monitoring parameters each including a selection processor configured to select a adapted list of monitoring parameters from the set of monitoring parameters based on user information, and monitoring results A system comprising a monitoring mechanism configured to monitor a user using a adapted list of monitoring parameters to provide and an output mechanism configured to output information related to the monitoring results It is provided.

  This configuration provides the advantage that the user's monitoring (eg, monitoring of the user's adherence to the user's health status or medication regimen) is performed using an appropriate monitoring parameter that matches the user's psychological profile. People can be categorized according to their psychological profile, and people respond better or worse to the same monitoring means.

  The appropriateness of specific monitoring parameters varies from user to user. Because of this diversity, known systems for monitoring user health or well-being are not very effective.

  By adapting the user's monitoring according to the user's psychological profile, the effectiveness of the monitoring system is greatly improved compared to known systems. Known systems do not consider fitness for the patient's psychological profile. In other words, known systems do not consider patient acceptability. If an incompatible system is used, it is likely that the patient will not use it at all, stop using it in a short period of time, or use the system in a way that significantly impairs the effectiveness of the system. Such use of the system is not a meaningful use of resources and should be avoided.

  To overcome the above problems, the system provides an adapted solution to improve the effectiveness of user monitoring. By monitoring the user more effectively, the possibility that a patient suffering from a long-term disease is stable can be increased, and the occurrence of instability can be detected as soon as possible.

  In some embodiments, the user information includes information related to which of the predetermined number of psychological profiles the user belongs to, and the psychological profiles each have different responses to specific monitoring parameters. Indicates. For example, in some embodiments, users may be classified into one of four profiles, each corresponding to a personality type. Classifying a user into a psychological profile in this way is a convenient and effective way to determine information related to the user's psychological profile. Having four was found to be a compromise between the complexity and effectiveness of the fit.

  In some embodiments, the output mechanism is configured to display information used in monitoring the user using the adapted list of monitoring parameters. For example, the output mechanism may display information regarding the monitoring parameters being monitored to the user and / or the output mechanism may display information related to the results of the monitoring.

  In some embodiments, the output mechanism is configured to display feedback regarding the results of the monitoring to the user. This allows the system to involve the user in the process, which is particularly important in embodiments where user behavior (eg, compliance with a treatment regimen) is important.

  In some embodiments, the output mechanism is configured to select appropriate display information based on user information. In some embodiments, the output mechanism is configured to adapt how information is displayed to the user based on the user information. Accordingly, in such an embodiment, the format and / or content of the information displayed to the user is changed according to the user's psychological profile. For example, a user with a specific profile type may respond more positively to a specific type of information and / or a specific information display method than to other types of information and / or information display methods.

  This allows the user to receive information of the type and / or content that he prefers, which greatly improves the usability and user experience of the system. As a result, the user is more likely to understand and correctly interpret the information, and is more likely to feel motivated from the information. In addition, the user is less likely to lose motivation from the information and less likely to feel threatened by the information.

  Providing health-related information fitted with as few as four profiles that accommodates the user's psychological characteristics can make a big difference in how people perceive and feel the information It was approved to bring Users tend to strongly prefer documents adapted to their profile compared to generic documents or documents adapted to other (ie not their own) profiles.

  In some embodiments, the monitoring mechanism is configured to monitor the user's adherence to the treatment regimen using the adapted list of monitoring parameters, and the output mechanism is for assisting the user's adherence to the treatment regimen. Configured to display feedback to the user. This allows such embodiments to assist patients suffering from long-term illnesses that must follow a treatment regimen to remain stable.

  In some embodiments, the monitoring mechanism determines an adherence assessment result related to the user's adherence to the treatment regimen based on the monitoring result, and based on comparing the adherence assessment result to a stored adherence assessment result threshold. It is configured to determine whether there has been a reduction in user adherence to a treatment regimen that exceeds a certain threshold.

  In some embodiments, if there is a decrease in the user's adherence to a treatment regimen that exceeds a predetermined threshold, the output mechanism provides an adherence warning that there has been such a decrease in the user's adherence to the treatment regimen. It is configured as follows. Adherence alerts can be provided to users, carers, or other health care workers. In some embodiments, the output mechanism is configured to adapt adherence alerts based on user information.

  In some embodiments, the system determines an assessment result related to the user's health based on the monitoring results, and based on comparing the assessment results to a stored assessment result threshold, It further includes an evaluation mechanism configured to determine whether there has been a deterioration in health status. Thus, such an embodiment can assist in detecting when a user with a long-term disease may be experiencing an onset of instability.

  In some embodiments, if there is a deterioration in the patient's health condition that exceeds a predetermined threshold, the output mechanism is configured to provide an appropriate warning that such deterioration has occurred. Alerts can be provided to users, carers, or other health care workers. In some embodiments, the output mechanism is configured to adapt a warning based on user information.

  In some embodiments, the user information further includes information related to additional information about the user, and the selection processor selects the adapted list of monitoring parameters from the set of monitoring parameters considering the additional information about the user. It is configured as follows. In such an embodiment, the system may determine additional characteristics associated with the user in addition to the user's profile. For example, the system may determine the user's gender, age, and family status (ie, with / without children) (eg, via a questionnaire). These additional profiling characteristics can then be used with the user profile type to improve user monitoring. Also, in some embodiments, the system may determine what additional information is needed based on the profile. Such additional information can also be used to adapt the format and / or content of the information displayed by the output means.

  In some embodiments, the system may be provided on a single device. In other embodiments, various components of the system may be distributed across more than one device.

  According to another aspect of the present invention, a method for monitoring a user, the step of storing user information relating to the user's psychological profile, and a monitoring parameter each comprising measurable parameters associated with the user A step of saving a set of monitoring parameters, selecting a fitted list of monitoring parameters from the set of monitoring parameters based on user information, and using the adapted list of monitoring parameters to provide monitoring results. And a method of outputting information related to the monitoring result is provided.

  These and other aspects of the invention will be apparent from and will be elucidated with reference to the embodiments described hereinafter.

  Embodiments of the present invention will now be described by way of example only with reference to the accompanying drawings in which:

FIG. 1 shows a schematic diagram of a cycle of patient status and treatment status in a chronic disease. FIG. 2 schematically illustrates a system for monitoring a user according to the first embodiment of the present invention. FIG. 3 is a flowchart for explaining the operation of the system according to the first embodiment. FIG. 4 shows a flow diagram illustrating the process for determining the psychological profile of the user of the system of the first embodiment. FIG. 5 schematically illustrates a system for monitoring a user according to a second embodiment of the present invention. FIG. 6 is a flowchart illustrating the operation of the system according to the second embodiment. FIG. 7 is a flowchart for explaining the operation of the system according to the third embodiment. FIG. 8 schematically illustrates a system for monitoring a user according to a fourth embodiment of the present invention. FIG. 9 is a flowchart for explaining the operation of the system according to the fourth embodiment.

  FIG. 2 schematically illustrates a system 100 for monitoring a user according to the first embodiment of the present invention. In this embodiment, the system can be used by a user (eg, a patient suffering from a long-term disease) or a user's carer.

  The system 100 includes a user database 110, a monitoring database 120, a selection processor 130, a monitoring mechanism 140, and an output mechanism 150.

  The user database 110 is configured to store user information regarding the user's psychological profile. In this embodiment, as will be described in more detail later, the user information includes information about which of the predetermined plurality of psychological profiles the user belongs to, each psychological profile having a specific monitoring parameter. And different responses to feedback or output parameters.

  The monitoring database 120 is configured to store a set of monitoring parameters, each including measurable parameters for the user. In this embodiment, each monitoring parameter includes a measurable parameter related to the user's health status. An exemplary list of monitoring parameters suitable for this embodiment and other embodiments of the present invention is provided later.

  The selection processor 130 is configured to select an adapted list of monitoring parameters from the set of monitoring parameters based on the user information. In other words, the selection processor 130 is configured to select monitoring parameters suitable for the user based on the user's psychological profile. In this embodiment, the user is classified into one of a plurality of predetermined psychological profiles, and the selection processor 130 selects the monitoring parameters that are most appropriate for the user's psychological profile.

  The monitoring mechanism 140 is configured to monitor the user using the adapted list of monitoring parameters and provide monitoring results. In other words, the user may be monitored by the monitoring mechanism 140 once the selection processor 130 selects a monitoring parameter suitable for the user based on the user's psychological profile.

  The output mechanism 150 is configured to output information regarding the monitoring result. In this embodiment, the output mechanism 150 is configured to display feedback regarding the monitoring results to the user. Therefore, in this embodiment, the output mechanism 150 includes a display. In this embodiment, the output mechanism is configured to select appropriate display information based on user information. In the present embodiment, the output mechanism is configured to adapt a mode of displaying information to the user based on the user information.

  Thus, in such embodiments, the format and content of information displayed to the user is changed based on the user's psychological profile. This allows the user to receive information in the form and content that is preferred to him, which greatly improves the usability of the system and the user experience and effectiveness. Users tend to strongly prefer documents adapted to their own profile as compared to generic documents or documents adapted to other (ie not their own) profiles.

  In this embodiment, the output mechanism 150 is further configured to display information used in monitoring the user using the adapted list of monitoring parameters. The output mechanism 150 displays information regarding the monitoring parameters being monitored to the user. The format and content of this information can be adapted according to the user's profile.

  In this embodiment, the user database 110, the monitoring database 120, the selection processor 130, the monitor mechanism 140, and the output mechanism 150 are provided on the same device. For example, such a device can be a smartphone, tablet, general purpose computer, or other suitable device. In other embodiments, the device may communicate with an external additional monitoring mechanism. In other embodiments, the elements of the system may be provided on different devices.

  In some embodiments, the monitoring mechanism 140 may have local components distributed across multiple devices. They may communicate with a local control unit (represented by one of the monitoring devices or another device), may communicate with a remote system, or both of these approaches are within one system. They may be combined. In some embodiments, the monitoring mechanism 140 takes the form of a remote system (eg, a web server) that a user accesses using a local terminal (eg, computer, smartphone, tablet, etc.) for user monitoring based on, for example, a questionnaire. I can take it.

  In some embodiments, the monitoring mechanism 140 may reside in the same device as the output mechanism 150, or may reside in another device (ie, one device monitors the parameters and another The device displays it).

  FIG. 3 is a flowchart illustrating the operation of the system 100, and FIG. 4 is a flowchart illustrating a method for acquiring user information in the present embodiment.

  In step S 10 of FIG. 3, the system 100 stores user information regarding the user's psychological profile in the user database 110. In the present embodiment, the system 100 determines the content of user information using user input.

  In some embodiments, the system prompts the user for specific inputs (answers to questions, choices from choices, etc.) and uses a classification algorithm to determine the user's psychological profile. Based on the determined psychological profile, the system prompts the user using another algorithm to obtain a sufficient set of user information required to fit the user's psychological profile. Additional inputs may be determined.

  In this embodiment, the user is classified into one of a predetermined number of psychological profiles. FIG. 4 illustrates an example process for determining which of a predetermined number of psychological profiles the system 100 is according to this embodiment of the invention.

  In this embodiment, the user is classified into one of four psychological profiles called “analyzer”, “optimizer”, “delicate”, and “fighter” profiles. Other embodiments may use a different number or option of profiles, or other types of methods for classifying a user's psychological profile.

  In this embodiment, users suffering from long-term diseases having an analyst (P1), an optimist (P2), a fighter (P3), and a delicate (P4) each have the following exemplary characteristics.

  P1 (analyst): Such a user is careful, and wants to know all the details of his / her state. Such users often want information about their status. Typically, such users prefer routines and often create their own medication / health care regimens. Such users are particularly amenable to objectively acquired facts and figures to help understand and manage their status.

  P2 (Rakuten): Such users want to enjoy the simple things of life. They see health as important, but do not dominate life with health. They often see medication (or other medical practice) as something that allows them to do fun. Such users are particularly susceptible to their own and others' subjective experiences to help them understand and address their condition.

  P3 (Fighter): These users are confident, self-reliant, and want to feel that they have the initiative. Typically, they do whatever is necessary to manage their state. They often see medication (or other medical practice) as helping to fight their illness. Such users are particularly amenable to objective information regarding recommended behavior and expected benefits / results.

  P4 (Delicate): Such users do not need or want to know details about their condition. They are often disappointed with the consequences of medication. Typically they have low self-efficacy with respect to routines and require regular reassurance. Such users are particularly amenable to guides, help from carers that can be fully trusted and relied upon to help address their illness.

  This property represents a generalization of user information related to the user's psychological profile and is provided for ease of explanation. Other embodiments may use other profile types. Nonetheless, recently acquired preliminary data provides health-related information fitted with a profile as small as four that accommodates a person's psychological characteristics, and how people perceive information. And show how it makes a big difference in how you get the impression. As described below, categorizing users into one of these four profile types has yielded good experimental results in testing embodiments of the present invention. In the experiment, patients showed a strong tendency to favor documents adapted to their own profile as compared to generic documents or documents adapted to other profiles.

In order to characterize the user into one of the above four profile types, as shown in step S10a, in this embodiment, four phrases are provided to the user and prompted to select the description that best represents the user. . An example of a set of descriptions suitable for use in this embodiment for a user with a long-term disease is shown below.
Description 1: “You must know about my condition to make the right decision about my treatment”
Description 2: “I especially want to enjoy life, which makes me forget that treatment is also part of my life.”
Description 3: “I just want to know what to do and I will do it if it leads to early improvement”
Description 4: “All I can do about my illness is to believe that my doctor will provide the best care and medicine”

  In this example, Description 1 is associated with the P1 (analyst) profile, Description 2 is associated with the P2 (Rakuten) profile, Description 3 is associated with the P3 (Fighter) profile, and Description 4 is the P4 (Fine) profile. Associated with

  In step S10a, the user is presented with four descriptions, and in step S10b, the user selects the description that best describes himself. The user can make a selection using any suitable input device on the system 100, such as a touch screen on a smartphone.

  When the system 100 receives the most appropriate description user selection, in step S10c, the system 100 determines the user's profile. In this embodiment, the step of determining the user's profile includes user selection matching of the most appropriate suggestive phrases. However, in other embodiments using a more detailed assessment of the user's psychological profile, the step of determining the user's profile may include a number of other processes. For example, if the user's psychological profile involves the use of a questionnaire, the step of determining the user's profile is to analyze the results of the questionnaire, weight each answer appropriately, and reach the user's profile Can be included.

  When the user profile is determined in step S10c, the user profile is stored as user information regarding the user's psychological profile in step S10 of FIG.

  In other embodiments, the user information may include other information. For example, the system 100 may determine additional characteristics associated with the user in addition to the user's profile. For example, the system 100 may determine the user's gender, age, and family status (ie, with / without children) (eg, via a questionnaire). These additional profiling characteristics can then be used with the user profile type to improve user monitoring. In some embodiments, the system may also determine what additional information is required based on the profile. For example, gender may be required only for P4 (sensitive) and P2 (optimist) profiles, and family status may be determined only for P2 (optimist) profiles.

  Further, in some embodiments, the user information may include information regarding the patient's medical history. This can be determined by a questionnaire or by receiving information directly from a healthcare professional.

  In step S11, the system 100 stores a list of monitoring parameters. Step S11 is shown after S10, but it will be understood that this is purely for convenience of explanation. The system 100 can save the list of monitoring parameters before, after, or simultaneously with saving user information regarding the user's psychological profile. For example, both a list of monitoring parameters and user information may be sent to the system 100 simultaneously by a system (or appropriate server) belonging to a healthcare professional.

  In an embodiment of the present invention, the list of monitoring parameters stored by the system 100 may include any relevant monitoring parameters for the user's specific long-term disease (an example will be given later). For example, a system belonging to a healthcare professional (or an appropriate server) stores a master list of all possible monitoring parameters that can be employed by the system 100 and is associated with the user's specific long-term disease by the system belonging to the healthcare professional. A list of monitoring parameters may be sent to the system 100. Alternatively, system 100 itself may include a master list of all possible monitoring parameters that can be employed by system 100.

  In step S12, the selection processor 130 of the system 100 selects an adapted list of monitoring parameters based on the user information. This may be done based on a lookup table.

  In step S13, the monitoring mechanism 140 of the system 100 monitors the user using the adapted list of monitoring parameters to provide monitoring results, and in step S14, the output mechanism 150 of the system 100 displays the monitoring results. Output.

  To assist in the description of steps S12 and S13, a plurality of example monitoring parameters relating to the user's health status and / or aspects of the user's adherence to the treatment regimen will be described.

  Some of these monitoring parameter examples are generally applicable to monitoring user health, while others (eg, dyspnea) are more specific and may only apply to some diseases Please understand that. Furthermore, as will be described later, some monitoring parameters may have multiple monitoring methods. For example, some monitoring parameters may have an obtrusive monitoring method and an unobtrusive monitoring method. Also, some monitoring parameters may have subjectively monitored variants and objectively monitored variants. To avoid misunderstanding, it is somewhat subjective that a monitoring method is considered interfering or non-interfering, and different users (and different profile types) have different thresholds on what is considered to be interfering for themselves. It should be understood that it may have. Thus, when a particular method is described as “interfering” or “non-interfering”, it should be understood that it is merely a measure for ease of explanation.

  Different monitoring parameters can be monitored in different ways, since users with different personality types show very different responses to different monitoring methods. Thus, when the selection processor 130 of the system 100 selects an adapted list of monitoring parameters based on user information, the monitoring mechanism 140 tracks each monitoring parameter in an appropriate manner based on the user's psychological profile. By adapting the user's monitoring according to the user's psychological profile, the effectiveness of the monitoring system is greatly improved compared to known systems. By monitoring the user more effectively, it is possible to detect the occurrence of instability as soon as possible and take countermeasures, thereby increasing the likelihood that patients with long-term illness will remain stable.

  As an example, one monitoring parameter may relate to dyspnea, a symptom of shortness of breath. Breathing difficulties can be tracked subjectively depending on the information provided by the user. Subjective monitoring can be performed by a user questionnaire or by using a slide bar (or other suitable user interface) that indicates the level of shortness of breath perceived by the user.

  Breathing difficulties may also be objectively tracked using an appropriate audio monitoring system that detects the amount and type of user breathing (eg, forced breathing or non-effort breathing). Such objective monitoring can be performed interferometrically (e.g., the user wears an appropriate audio monitoring system) or non-interactively (e.g., using a smartphone's existing microphone).

  Another example of a monitoring parameter is blood pressure. Blood pressure must be objectively tracked using an appropriate sphygmomanometer. In an embodiment of the invention that uses a smartphone (or other similar device), the system needs to communicate with an external monitoring device to monitor blood pressure, which would be an interferometric measurement. The coherence of this measurement is based on the fact that it requires special procedures using the device and is time consuming. Also, the measurement is not very comfortable and the user may feel uncomfortable doing it in public places.

  Some monitoring parameters are purely subjective, such as the degree of fatigue perceived by the user. However, it should be noted that drowsiness can also be measured objectively and incoherently, for example, by video monitoring of blinks and eyelids used in automotive applications. The degree of fatigue perceived by the user must be tracked based on information provided by the user. This subjective monitoring may be performed by a user questionnaire or by the user using a slide bar (or other suitable user interface) that indicates perceived fatigue.

  For subjective monitoring parameters, monitoring can be performed using questions or prompts to the user. In addition, for some monitoring parameters, there may be well-known monitoring metrics that can be used by embodiments of the present invention. For example, the system may use a standard EQ5D indicator for monitoring parameters that measure a user's quality of life (QOL).

  Other monitoring parameters relate to the user's specific activity. For example, the system 100 may track whether the user has received a medication. This may be monitored using an appropriate medication dispenser with an appropriate sensor that indicates whether the user has received medication. The medicine dispenser may be part of the system 100 or may be in communication with the system 100.

  The system 100 may also track whether the user has performed a prescribed exercise. This may be performed subjectively by providing an indication (by a user questionnaire, etc.) that the user felt that the exercise of the day was “sufficient”. Alternatively, the user or carer may be objectively tracked in an interfering manner by indicating that the user has performed all the required exercises of the day. Furthermore, it may be objectively tracked in a non-interfering manner, for example, by using a GPS sensor in a device such as a smartphone to see if a predetermined amount of exercise (eg running) has been performed.

  In other words, the type of monitoring depends on the monitoring parameters included in the user's adapted list. As noted above, some monitoring parameters are monitored based on user responses to prompts or questions and provide subjective data. Other monitoring parameters are monitored in an objective manner, for example, using hardware present on the system 100 or an external monitoring mechanism that communicates with the system 100. In other embodiments, a user may input measurement results from an external measurement mechanism (eg, blood glucose meter, test pad) into the system. This is also considered objective. Accordingly, the monitoring mechanism 140 monitors the user in an appropriate manner based on the adapted list of monitoring parameters.

  With respect to the profile type example above, a user with a P1 (analyst) profile may be able to interpret the report content himself (by being so trained or supported by information provided by the system) Measure and report with a clear link to and prefer monitoring that provides detailed vital signs and symptoms. Typically, such users do not care for interferometric monitoring, such as time consuming or less comfortable. For example, the system 100 may select a measurement device toolset (small home lab), interpretation system, graphical visualization, What-if analysis, and decision making tools for a user with a P1 (analyst) profile. .

  Users with a P2 (Rakutenist) profile prefer monitoring that provides incoherent monitoring that can be viewed only if the user has no time or wants to see it explicitly. For example, the system 100 may select monitoring parameters that provide incoherent activity monitoring as much as possible.

  Users with P3 (Fighter) profiles prefer monitoring to monitor performance against agreed goals so that they can clearly see their progress or delays, supplemented by instructions to proceed smoothly. For example, the system 100 has an easily interpretable indicator (one number) that is ideally performed for other users (eg driving a car, exercising) for a user with a fighter profile. A simple time-saving measurement can be selected. The system 100 can provide simple tools, automatic but patient-triggered entry, and progress monitoring visualization.

  A user with a P4 (sensitive) profile prefers monitoring of treatment related behavior so that he can see what he has done and how well he has done it. For the P4 (fine) profile, the system 100 should focus on reassurance and stimulation to establish a well-trained routine. For example, the system 100 may include medication detection, an electronic task list, and an activity calendar.

  In general, for any suitable long-term disease, it may be desirable to select as many monitoring parameters as appropriate for that disease. Known systems tend to select all relevant monitoring parameters and track all users as well. However, as will be appreciated, certain monitoring formats are not effective for users with other profiles (eg, routine based monitoring for users with delicate profiles). In practice, using a monitoring format that is not appropriate for the user's psychological profile is very likely to cause the user to ignore the system 100 and thus not use it. The moment when a user deliberately ignores one or more elements of the monitoring system, the effectiveness of the monitoring system falls off sharply. Such a monitoring system requires user engagement. Without user engagement, the system will not be effective.

  Some profiles (eg analysts) do not tend to be disadvantageous for objective monitoring. However, other profiles (eg Rakuten) may not respond well to objective monitoring. Some monitoring parameters (eg activity) may be able to be tracked incoherently and coherently. For example, a user's activity level can be monitored by a questionnaire that is interfering. Alternatively or additionally, measure user activity using accelerometers or GPS sensors (eg when system 100 is installed in a smartphone) and record average daily activity level or walking distance Thus, the user activity level can be monitored.

  Choosing both interfering and non-interfering variants of the monitoring parameters for activity collects the most data, but at the cost of extra device processing and power consumption (which affects battery life) To do. The use of a GPS sensor is at the cost of portable device battery life. Thus, for some users, such as those with a P3 (fighter) or P1 (analyst) profile, it may be desirable to select an interfering variant of the monitoring parameter for the activity level. Users with a P3 (fighter) or P1 (analyst) profile may not be bothered to ask interfering questions and battery life is not unnecessarily consumed. Thus, in this example, for a user with a P3 (fighter) or P1 (analyst) profile, it may be desirable to select an interfering variant of the monitoring parameter for the activity level.

  For P4 (sensitive) or P2 (Rakuten) profiles, the interfering variant of the monitoring parameter for activity level may be ignored by the user, so even though this may shorten the battery life of the device, It may be optimal to select a non-interfering variant of the monitoring parameter for the activity level.

  Also, for some monitoring parameters (eg, heart rate), non-interfering variants (eg, remote heart rate measurement using a camera) are inherently less accurate than interferometric measurements. For example, if the camera on the smartphone forming the system 100 is trying to obtain information about skin dilation and the user does not know this, the user may move or place the smartphone, and the measurement opportunity is lost. Therefore, selection of the most appropriate monitoring method for user parameters is important.

  Also, some profile types respond better to subjective questions than objective indicators. A user with a P2 (Rakuten) profile responds better to subjective questions about how he feels than to be asked to perform an objective measurement. The reverse is true for users with analyst profiles.

  FIG. 5 schematically illustrates a system 200 for monitoring a user according to a second embodiment of the present invention. In this embodiment, the system 200 is specifically configured to monitor the user's adherence to the dosing regimen. Thus, a user in the context of this embodiment is a patient with a long-term disease that requires a dosing regimen to stably maintain the user's long-term disease. In this exemplary embodiment, it is assumed that non-adherence to the user's dosing regimen results in worsening of the patient's symptoms and possibly event occurrence.

  The system 200 includes a device 201 and a plurality of remote devices including a remote profile database 215, a remote monitoring database 220, and a remote monitoring mechanism 245. The device 201 includes a user database 210, a selection processor 230, a monitor mechanism 240, and an output mechanism 250.

  Device 201 communicates with remote profile database 215, remote monitoring database 225, and remote monitoring mechanism 245 via appropriate interfaces. For example, the device 201 can be connected to the remote profile database 215 and the remote monitoring database 225 via a network such as the Internet. Device 201 may be connected to remote monitor mechanism 245 via a short-range wireless connection, such as Bluetooth®. However, it will be appreciated that other embodiments may use other methods of connecting a remote device with device 201.

  In this embodiment, the device 201 can be a portable device (eg, a smartphone) or a stand-alone device. In other embodiments, the device 201 may be incorporated into the functionality of a general purpose device.

  FIG. 6 shows a flow diagram illustrating the operation of the system 200 for monitoring user adherence to a dosing regimen.

  In step S20 of FIG. 6, the system 200 stores user information regarding the user's psychological profile in the user database 210. In this embodiment, the device 201 does not directly acquire user information regarding the user's psychological profile. Instead, device 201 obtains this information from remote profile database 215. For example, the remote profile database 215 may include a data store at a healthcare provider, and the device 201 may access this data store. In such an example, user information regarding the user's psychological profile may be obtained by a health care provider (or other external source). For ease of explanation of the present embodiment, the system 200 determines user information regarding the user's psychological profile by determining the user's profile as described in connection with FIG. In other words, the user is classified into one of the P1, P2, P3, or P4 profiles.

  In step S21, the system 200 stores a list of monitoring parameters. In this embodiment, device 201 does not store a complete list of monitoring parameters. Instead, this list is stored on the remote monitoring database 225.

  Because this embodiment is particularly concerned with monitoring user adherence to a dosing regimen, a stored list of monitoring parameters may be associated with these monitoring parameters (eg, a user for a dosing regimen selected from a master list of monitoring parameters). Monitoring parameters suitable for adherence monitoring).

  In step S22, the selection processor 230 of the system 200 selects an adapted list of monitoring parameters based on the user information. This is performed in the manner described with respect to step S12 of FIG. 3, the difference being that the device 201 selects a monitoring parameter from the monitoring parameters stored in the remote monitoring database 225. The adapted list of monitoring parameters based on the user information is then stored in the memory (not shown) of the device 201.

  In step S23, the output mechanism 250 provides information to the user to support the user's adherence to the medication regimen. For example, the output mechanism 250 may provide a schedule for viewing by the user that indicates when and how to follow a dosing regimen. In this embodiment, the information provided to the user to assist the user's adherence to the treatment regimen is adapted based on the user information. Accordingly, in such an embodiment, the format and content of the information display to the user is changed according to the user's psychological profile. This provides the user with information in a form and content that is more likely to be understood or correctly interpreted by the user and more likely to be motivated by the information. Also, the user is less likely to lose motivation from the information and is less likely to feel threatened by the information, greatly improving the usability and user experience of the system.

  In step S24, the monitoring mechanism 240 of the system 200 monitors the user using the adapted list of monitoring parameters to provide monitoring results. It should be understood that the type of monitoring depends on the monitoring parameters included in the list adapted for the user. In this embodiment, the device 201 of the system 200 connects to a remote monitoring database 220 for at least part of user monitoring. For example, the remote monitoring database 220 can include a sphygmomanometer.

  It should be understood that adherence has two main components: perceptual and practical. Regarding non-adherence, intentional non-adherence and unintentional non-adherence can be distinguished accordingly. Regarding the perceptual component of adherence, it is possible to monitor the perceived need for adherence to the treatment regimen and / or the level of user concern regarding the treatment regimen. This can be accomplished in the form of a questionnaire aimed at this, which is applied to individual profiles (eg, believes about medication questionnaire (BMQ)). For practical elements of adherence, it is possible to monitor the user's behavior (eg,% the user performs a specific behavior).

  In step S25, the output mechanism 250 provides feedback to the user to assist the user's adherence to the medication regimen. After step S25, the method returns to step S24.

  In the present embodiment, the format and content of information provided to the user are also determined based on the user information. In other words, in step S23, the information provided to the user is selected based on the user's psychological profile. Further, the type and content of feedback provided to the user to assist the user's adherence to the medication regimen is also determined based on the user information.

  For example, a user with a P1 profile may be provided with a greater number of tracked items at a higher level, and a strictly defined routine with detailed feedback.

  Users with a P2 profile may be provided with less frequent expressive feedback (eg using smile marks).

  Users with P3 profiles are provided with a clear progress report via periodic feedback based on monitoring parameters associated with the goal. The system may employ visual style entries for information about trends.

  Users with P4 profiles are not monitored using routines, and are given negative feedback only when apparently severe, providing guidance on how to perform the desired task (eg, checklist format) Provides input for monitoring by showing their progress according to this guidance (behavior monitoring).

  FIG. 7 shows a flow diagram illustrating the operation of the system 200 for monitoring user adherence to a dosing regimen according to another embodiment.

  In FIG. 7, steps S30 to S35 are the same as steps S20 to S25, and therefore will not be described repeatedly. FIG. 7 differs from FIG. 6 in that the method does not return to step S34 after step S35 but proceeds to step S36.

  In step S36, the system 200 determines an adherence evaluation result regarding the adherence of the user to the treatment regimen based on the monitoring result. It will be appreciated that adherence assessment results can be calculated in a variety of ways, taking into account the two key elements of adherence (ie, perceptual and practical). For example, the system 200 may weight different monitoring parameters (eg, related to perceptual and practical elements of adherence) to produce a combined result.

  Thereafter, in step S37, the system 200 compares the adherence evaluation result with the stored threshold value.

  In step S38, the system 200 determines whether or not the adherence evaluation result is below a stored threshold. If the adherence evaluation result does not fall below the stored threshold, the method returns to step S34 and user monitoring continues.

  If the adherence evaluation result is below the stored threshold, the method proceeds to step S39a. In step S39a, the system 200 determines that there has been a decrease in user adherence to a treatment regimen that exceeds a predetermined level. In other words, the system 200 determines that the user has not adhered to the medication regimen to the extent that may be problematic.

  In step S39b, the system 200 outputs information indicating that the user's adherence to the treatment regimen has decreased. This may be done by an appropriate warning to the user via the display of the output mechanism 250, or the system 200 may send an appropriate message that the user's adherence is not at a level that the user's adherence should be to It may be automatically output to the carer.

  Although the flow diagrams of FIGS. 6 and 7 have been described in the environment of the system 200 shown in FIG. 5, it will be appreciated that other embodiments of the system may use different hardware configurations. For example, multiple components of the system 200 described as remote from the device 201 may be included in the device. Alternatively, some of the functions of the device 201 may be handled by the remote device. In particular, note that the hardware configuration of FIG. 2 may be used with the flow diagrams of FIGS. Further, although one remote monitoring mechanism is shown, it should be understood that some embodiments of the present invention may use a plurality of such remote monitoring mechanisms.

  FIG. 8 schematically illustrates a system 300 for monitoring a user according to a third embodiment of the present invention. In this embodiment, the system 300 is specifically configured to monitor the user's health for the purpose of measuring when the user's health is below a certain level. Accordingly, system 300 can be used to detect event occurrences. The event may be triggered by the patient having another illness (eg, a cold) or by some other factor that exacerbates the patient's condition (eg, non-adherence to the user's medication regimen). Thus, the user in the context of this embodiment is a patient suffering from a long-term disease who desires to maintain his / her long-term disease stably.

  The system 300 includes a device 301 and a plurality of remote devices including a remote profile database 315, a remote selection processor 330 connected to the remote monitoring database 325, and a remote monitoring mechanism 345. The device 301 includes a user database 310, a selection memory 335, a monitor memory 346, and an output mechanism 350.

  Device 301 communicates with remote profile database 315, remote selection processor 330, and remote monitor mechanism 345 via an appropriate interface. For example, device 301 may be connected to remote profile database 315 and remote selection processor 330 via a network such as the Internet. The device 301 can be connected to the remote monitor mechanism 345 via a short-range wireless connection such as Bluetooth. However, it should be understood that other embodiments may use other methods of connecting a remote device to device 301.

  In this embodiment, device 301 can be a portable device (eg, a smartphone) or a stand-alone device. In other embodiments, device 301 may be incorporated into the functionality of a general purpose device.

  FIG. 9 shows a flow diagram illustrating the operation of the system 300 for monitoring user adherence to a dosing regimen.

  In step S40 of FIG. 9, the system 300 stores user information regarding the user's psychological profile in the user database 310. In this embodiment, the device 301 does not directly acquire user information regarding the user's psychological profile. Instead, the device 301 obtains this information from the remote profile database 315 as described with respect to FIG.

  In step S41, the system 300 stores a list of monitoring parameters. In this embodiment, device 301 does not store a complete list of monitoring parameters. Instead, this list is stored in the remote monitoring database 325. In addition, since the present embodiment is particularly concerned with monitoring the health status of the user, the saved list of monitoring parameters is a monitoring parameter suitable for monitoring a user's specific long-term disease (eg, from a master list of monitoring parameters). Selected monitoring parameters).

  In step S42, the remote selection processor 330 of the system 300 selects an adapted list of monitoring parameters based on the user information. This can be performed in the manner described in connection with step S12 of FIG. For ease of explanation of this embodiment, the system 300 determines user information regarding the user's psychological profile by determining the user's profile as described above in connection with FIG. In other words, the user is classified into one of the P1, P2, P3, and P4 profiles. The remote selection processor 330 of the system 300 sends an adapted list of monitoring parameters stored in the selection memory 335 to the device 301.

  In step S43, the remote monitoring mechanism 340 of the system 300 monitors the user using the adapted list of monitoring parameters to provide monitoring results. It will be appreciated that the type of monitoring depends on the monitoring parameters included in the user's adapted list. In the present embodiment, the remote monitor mechanism 340 sends the monitoring result to the monitor memory 346.

  In step S44, the evaluation mechanism 360 of the system 300 is configured to determine an evaluation result related to the user's health based on the monitoring result. It should be understood that the evaluation result can be calculated in various ways. For example, the system 300 may weight the different monitoring parameters and generate a combined result.

  Thereafter, in step S45, the evaluation mechanism 360 compares the evaluation result with the stored threshold value. In step S46, the evaluation mechanism 360 determines whether the evaluation result is below the stored threshold value. If the adherence evaluation result does not fall below the stored threshold, the method returns to step S43 and user monitoring continues.

  If the evaluation result is below the stored threshold, the method proceeds to step S47. In step S47, the evaluation mechanism 360 determines that the user's health condition has exceeded a predetermined level. In other words, the evaluation mechanism 360 determines that the user's condition is at a level that can be problematic or at least problematic.

  In step S48, the system 300 outputs information indicating that the user's health condition has deteriorated. This may be done by an appropriate warning to the user via the display of the output mechanism 350, or the system 300 sends an appropriate message to the health care professional or other carer that the user's health has deteriorated. You may output automatically.

  The advantage of such a configuration is that the patient is more likely to respond to a worsening health condition at an early stage when the potential for effective intervention at home is still high. Also, in some embodiments, the system may be configured to warn the patient directly if the user (patient) can reliably respond to and desires it. If the patient responds to the warning or is deemed unreliable, or if no patient response to the warning is detected, the system may alert the carer.

  Although the flow diagram of FIG. 9 has been described in the environment of the system 300 shown in FIG. 8, it will be appreciated that other embodiments of the system may use different hardware configurations. For example, some components of the system 300 described as remote from the device 301 may be included in the device. Alternatively, some of the functions of the device 301 may be handled by the remote device. Further, although one remote monitoring mechanism is shown, it should be understood that some embodiments of the present invention may use a plurality of such remote monitoring mechanisms.

  Next, in order to further assist the description of the present embodiment, some specific examples will be described.

Example 1-Congestive Heart Failure Congestive heart failure (CHF) is a condition in which the heart cannot provide sufficient pumping action to provide blood flow that meets the body's needs. CHF can cause a variety of symptoms including shortness of breath, swelling of the legs, and exercise intolerance. Treatment of CHF generally consists of smoking cessation, light exercise including respiratory protocols, suppression of salt intake and other dietary changes, and medication. It may be treated with an implant device (pacemaker or ventricular assist devices) or may be treated with a heart transplant.

  Thus, CHF is an example of a long-term disease that can benefit from monitoring both a user's health status and the user's adherence to a treatment regimen.

  Agents important for CHF are typically beta blockers and diuretics. If these are taken correctly (ie according to the user's treatment regimen), the user is most likely to remain stable with respect to CHF. On the other hand, ingestion of β-blockers may lead to arrhythmia, and ingestion of diuretics may lead to pulmonary edema. Both of these diseases are life threatening and may require hospitalization. These are commonly referred to as “CHF decompensation”.

  In the present embodiment, a patient monitoring system according to an embodiment of the present invention aims to identify the occurrence of decompensation in a patient suffering from CHF. CHF decompensation is associated with pulmonary edema. Early pharmacological intervention can reduce the amount of fluid that accumulates in the patient's chest and prevent acute events that require emergency visits or hospitalization.

The monitoring parameters suitable for the patient monitoring system according to one embodiment of the present invention aiming to identify the occurrence of decompensation in patients suffering from CHF are as follows.
M1: Thoracic impedance with vest M2: Body weight (increase) as a sign of fluid retention using a scale
M3: dyspnea as a symptom associated with pulmonary edema using a subjective questionnaire M4: activity level (reduction) as behavioral response to dyspnea measured by accelerometer
M5: Listening to daily activities through guided dialogue M6: Emotion questionnaire M7: Self-management behavior through interactive checklist (performance of activities from self-management plan)

Thus, M1-M7 provide a complete set of monitoring parameters for CHF. The characteristics of such monitoring parameters are as follows.
M1: Objective, labor intensive, sophisticated, requires specialized medical equipment, disease related M2: Objective, less accurate than M1, standard device, low effort, easy to use, disease unrelated M3 : Subjective, disease-related, moderate effort (daytime measurement)
M4: objective, effortless, disease unrelated, special consumer device (small, lightweight), low specificity, need to be combined with contextual information M5: subjective, focus on disease can be avoided, Moderate effort, social interaction opportunities (may be done with partners)
M6: Subjective, low effort, not specific disease M7: Subjective, low effort, specific disease

The characteristics of each profile type P1, P2, P3 and P4 have already been described above. The adapted list of monitoring parameters for each profile type for CHF is as follows:
Adapted list for P1 (analyst): M1, M2, M3, M4
Adapted list for P2 (Rakuten): M4, M5
Adapted list for P3 (fighter): M1, M4, M7
Adapted list for P4 (Fine): M2, M4, M6, M7

  The reason why these matched lists were selected for each profile will now be described.

  For the P1 (analyst) profile, the execution of labor-intensive routines makes the analyst feel the initiative. Also, the use of sophisticated medical equipment and state-of-the-art measurement accuracy make the analyst feel like an expert. The use of various monitoring parameters also satisfies the analyst's desire for information. Such a combination will ensure that analysts continue to focus on self-management. M4 (if user wants more involvement).

  For the P2 (Rakuten) profile, the sharing of subjective emotions in the social environment (ie, M5 that the Rakuten would enjoy) is a typical fun activity for the Rakuten, and at the same time completely non-interfering Provide important input for accurate interpretation of active activity level monitoring. A further advantage of the approach is that the optimist is not explicitly confronted with the disease (M4 does not require effort and is independent of the disease).

  For P3 (fighter) profiles, M1 and M4 monitoring provide objective trend information that can be translated into clear goals and actionable advice. Here, M1 is the main deterioration detection mechanism, while M4 is mainly used to keep monitoring responsive and relevant to the fighter over time. The interactive checklist M7 gives the fighter a sense of accomplishment.

  As for the P4 (sensitive) profile, the combination of objective monitoring and subjective monitoring can give a delicate person a sense of security that they are being monitored accurately. The interactive checklist gives you peace of mind that all the daily steps have been performed. The use of non-medical devices such as weight scales eases the uneasiness of sensitive people and improves usability.

Example 2 Chronic Obstructive Pulmonary Disease Chronic obstructive pulmonary disease (COPD) is the development of chronic bronchitis or emphysema, a pair of lung diseases in which the concomitant airways are constricted. This limits the airflow to and from the lungs, adversely affects gas exchange and causes shortness of breath (dyspnea).

  For COPD, daily oral administration is supplemented by daily inhalation (long-acting bronchodilators and steroids), and in the case of shortness of breath, inhalation based on symptoms (short-acting bronchodilators) Oxygen therapy and non-invasive ventilation are used in severe cases.

  Intake of bronchodilators leads to shortness of breath, infection and greater susceptibility of lung tissue to external stimuli, as well as COPD acute exacerbations requiring emergency outpatient visits. About 30% of these emergency outpatient visits will be hospitalized, and about 10% of these hospitalizations will be fatal.

  Nonuse of oxygen therapy results in hypoxemia or hypercarbonemia, which can lead to loss of consciousness, irreversible damage to brain cells, or respiratory failure. The latter always requires hospitalization and high mortality, the former two are very dangerous and have a long-term irreversible impact on QOL.

  Typical monitoring parameters for COPD are dyspnea, cough level, sputum volume and color, fatigue level, and SpO2 (blood oxygen level) for severe cases. It will be appreciated how to select an appropriate adapted list of these monitoring parameters to suit each of the P1, P2, P3, and P4 profiles.

Example 3 Crohn's Disease Crohn's disease is an autoimmune disease and patients typically receive oral administration. Modern very powerful treatments typically involve biologics that must be injected (by yourself) every 2-3 weeks. If this is neglected, i.e. if the interval between injections is prolonged or stopped during periods when no symptoms are observed, excess TNF-α particles in the blood will cause an inflammatory reaction of sensitive body tissues, The disease is reactivated. This gradually damages the infected body part (intestine in the case of Crohn's disease) due to inflammation, losing its function, necessitating surgical intervention.

  Typical monitoring parameters for Crohn's disease are pain, gas, bloody stool, diarrhea, and fatigue. It will be appreciated how to select an appropriate adapted list of these monitoring parameters to suit each of the P1, P2, P3, and P4 profiles.

  As described above, an embodiment of the present invention is a system for monitoring a user, a user database configured to store user information regarding a user's psychological profile, and a measurable associated with the user. A monitoring database configured to store a set of monitoring parameters each containing parameters, a selection processor configured to select a adapted list of monitoring parameters from a set of monitoring parameters based on user information, and monitoring results Including a monitoring mechanism configured to monitor the user using a tailored list of monitoring parameters and an output mechanism configured to output information related to the monitoring result To provide a system.

  Such an embodiment has the advantage that monitoring of the user (e.g. monitoring of the user's adherence to the user's health status or medication regimen) is performed using suitable monitoring parameters that fit the user's psychological profile. Bring. People can be categorized according to their psychological profile, and people respond better or worse to the same monitoring means. Also, the format and / or content of information displayed to the user is changed based on the user's psychological profile. This allows the user to receive information of the type and / or content that he prefers, which greatly improves the usability and user experience of the system. As a result, the user is more likely to understand and correctly interpret the information, and is more likely to be motivated by the information. Also, the user is less likely to lose motivation from the information and is less likely to feel threatened by the information.

  Accordingly, embodiments of the present invention provide improved systems and methods for monitoring users. Such a system provides greatly improved monitoring by adapting monitoring (and possibly monitoring feedback) to the user's psychological profile. Such a configuration has been found to be a significant improvement over known systems that provide the same monitoring method for all users (benefits can be compared to the difference in use / non-use of the system).

  It should be understood that the hardware used by embodiments of the present invention can take a variety of forms. For example, all components of the system may be provided by a single device (eg, the example of FIG. 2), or different components of the system may be provided on separate devices. An example of such a configuration is the system of FIGS. 5 and 8, in which some of the components of each system are provided on the device, while other components are provided on the remote device. (In this context, “remote” means not part of the device but can communicate with the device). More generally, it is to be understood that embodiments of the present invention can provide a system that includes a single device or multiple devices in communication.

  The term “comprising (or including or including)” does not exclude other elements or steps, and an element does not exclude a plurality. A single processor may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different independent claims does not necessarily indicate that a combination of these measures cannot be used to advantage. Any reference signs in the claims should not be construed as limiting the scope.

  Although claims are made herein for specific combinations of features, the scope of the disclosure of the present invention is all novel features or novel combinations disclosed explicitly or suggestively herein. Or whether their generalization relates to the same invention as that currently claimed in any claim, or does it alleviate any or all of the same technical problems as the parent invention? It should be understood as including or not. Applicant states that this may create new claims for such features and / or combinations of features during examination of this application or any other application derived from this application.

Claims (15)

A system for monitoring users,
A user database for storing user information related to the user's psychological profile;
A monitoring database for storing a set of monitoring parameters each including measurable parameters associated with the user;
A selection processor for selecting an adapted list of monitoring parameters from the set of monitoring parameters based on the user information;
A monitoring mechanism for monitoring the user using the adapted list of monitoring parameters to provide monitoring results;
An output mechanism for outputting information related to the monitoring result.   The user information includes information related to which of the predetermined number of psychological profiles the user belongs to, the psychological profiles exhibit different responses to specific monitoring parameters; The system of claim 1.   The system according to claim 1 or 2, wherein the output mechanism displays information used in the monitoring of the user using the adapted list of monitoring parameters.   The system according to any one of claims 1 to 3, wherein the output mechanism displays feedback regarding the result of the monitoring to the user.   The system according to claim 3 or 4, wherein the output mechanism selects appropriate display information based on the user information.   The system according to claim 3, wherein the output mechanism adapts how information is displayed to the user based on the user information.   The monitoring mechanism monitors the user's adherence to a treatment regimen using an adapted list of the monitoring parameters, and the output mechanism provides feedback to the user to assist the user's adherence to the treatment regimen. The system according to claim 1, wherein the system is displayed.   The monitoring mechanism determines an adherence evaluation result related to the user's adherence to the treatment regimen based on the monitoring result, and compares the adherence evaluation result with a stored adherence evaluation result threshold value to determine a predetermined threshold value. 8. The system of claim 7, wherein the system determines whether there has been a decrease in the user's adherence to the treatment regimen that exceeds.   If there is a decrease in the user's adherence to the treatment regimen that exceeds the predetermined threshold, the output mechanism provides an appropriate adherence warning that there has been such a decrease in the user's adherence to the treatment regimen. The system of claim 8.   The system of claim 9, wherein the output mechanism adapts the adherence alert based on the user information.   Based on the monitoring result, an evaluation result related to the health condition of the user is determined, and based on the comparison of the evaluation result with a stored evaluation result threshold value, has the patient's health condition deteriorated exceeding a predetermined threshold value? 11. A system according to any preceding claim, further comprising an evaluation mechanism for determining whether or not.   12. The system of claim 11, wherein if there is a deterioration in the patient's health condition that exceeds the predetermined threshold, the output mechanism provides an appropriate warning that there has been such a deterioration.   The system of claim 12, wherein the output mechanism adapts the warning based on the user information.   The user information further includes information related to additional information about the user, and the selection processor selects an adapted list of monitoring parameters from the set of monitoring parameters in view of the additional information about the user. The system according to any one of claims 1 to 13. A method for monitoring a user,
Storing user information related to the user's psychological profile;
Storing a set of monitoring parameters, each including a measurable parameter associated with the user;
Selecting a matched list of monitoring parameters from the set of monitoring parameters based on the user information;
Monitoring the user using the adapted list of monitoring parameters to provide monitoring results;
Outputting information related to the monitoring result.